Predictive models for energy saving in Wireless Sensor Networks


ICT devices nowadays cannot disregard optimizations toward energy sustainability. Wireless Sensor Networks, in particular, are a representative class of a technology where special care must be given to energy saving, due to the typical scarcity and non-renewability of their energy sources, in order to enhance network lifetime. In our work we propose a novel approach that aims to adaptively control the sampling rate of wireless sensor nodes using prediction models, so that environmental phenomena can be consistently modeled while reducing the required amount of transmissions; the approach is tested on data available from a public dataset.

DOI: 10.1109/WoWMoM.2011.5986204

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@article{Paola2011PredictiveMF, title={Predictive models for energy saving in Wireless Sensor Networks}, author={Alessandra De Paola and Giuseppe Lo Re and Fabrizio Milazzo and Marco Ortolani}, journal={2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks}, year={2011}, pages={1-6} }